mnl_get_fds_simulations: Perform Monte Carlo simulations for FDS plots.

In mariobecerra/opdesmixr: Optimal experimental designs for mixture models

Description

This function creates a dataframe/tibble with Monte Carlo simulations for Fraction of Design Space plots.

Usage

mnl_get_fds_simulations(
  design_array,
  beta,
  order,
  n_points_per_alternative = 500,
  transform_beta = F,
  verbose = 0
)

Arguments

design_array	3-dimensional design array.
beta	Matrix with Halton draws of the prior distribution
order	integer corresponding to Scheffé model of order 1, 2, or 3.
n_points_per_alternative	Number of points to approximate the prediction variance.
transform_beta	boolean parameter. Should the beta vector/matrix be transformed by subtracting the q-th element?
verbose	Level of verbosity

Value

Tibble of size J*n_points_per_alternative where J is the number of alternatives per choice set, i.e., the second element in dim(design_array).

mariobecerra/opdesmixr documentation built on Aug. 13, 2021, 9:44 p.m.